1132_Deep Learning_341988
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Course Intro

Course Resources

  • syllabus 2025
  • 1 Introduction to Neural networks
  • [錄] 02171418
  • [錄] 02171510
  • [錄] 02241513
  • [錄] 02241611
  • deep forward neural networks
  • [錄] 03031312
  • [錄] 03031410
  • [錄] 03031510
  • [錄] 03031610
  • teaching deep learners to generalize (1)
  • [錄] 03101421
  • [錄] 03101610
  • [錄] 03171421
  • 6 Autoencoder
  • How to prepare the report for the take home exam
  • [錄] 03241435
  • [錄] 03241511
  • [錄] 03241611
  • DL First Exam 2025
  • 7 teaching deep learners to generalize_2
  • [錄] 03311421
  • 8 recurrent neural networks_1
  • [錄] 04071421
  • [錄] 04071510
  • [錄] 04071611
  • 8 recurrent neural networks_1
  • [錄] 04141422
  • [錄] 04141510
  • [錄] 04141610
  • 9 recurrent neural networks_2
  • solar_train_practice
  • practice_testX_96in_48out
  • practice_testY_96in_48out
  • 10 convolutional neural networks_1
  • [錄] 04281438
  • [錄] 04281510
  • [錄] 04281611
  • DL Second Exam 2025
  • [錄] 05051415
  • [錄] 05051510
  • [錄] 05051610
  • 11 convolutional neural networks_2
  • [錄] 05121415
  • [錄] 05121510
  • [錄] 05121610
  • [錄] 05191420
  • [錄] 05191510
  • [錄] 05191611
  • 12 reinforcement learning_1
  • [錄] 05261511
  • DeepRL
  • [錄] 05261610
  • 13 reinforcement learning_2
  • [錄] 06021419
  • [錄] 06021510
  • [錄] 06021610
  • [錄] 06091418
  • [錄] 06091510
  • [錄] 06091610
  • DL Final Exam 2025
Teacher / 姚立德

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